Egor Tatsiy

I led corporate credit risk initiatives within the Corporate Banking division, combining financial risk expertise with process automation and structured data workflows. • Led implementation of a new financial reporting platform, migrating legacy workflows into a structured system used by 1,500+ internal users, improving decision-making efficiency by 10–15%. • Designed business and ETL requirements for data pipelines supporting credit scoring and analytics systems. • Developed an automated underwriting work

I progressed from Underwriter to Manager within the Corporate Credit Risk division, overseeing quantitative credit analysis for corporate counterparties across equities, bonds and derivatives. • Performed financial and quantitative credit analysis, calculating key risk metrics including PD, LGD, and EAD. • Assessed counterparty exposure and structured credit limits for large corporate clients. • Contributed to automation of credit limit approval workflows by defining system requirements and improving inter

Hands-on Data Analytics program focused on Python, SQL, ETL, data visualization and machine learning fundamentals. Key projects: • Credit Risk Logistic Regression model • Income classification model (Random Forest, Logistic Regression) • Exploratory data analysis & statistical modeling

Completed an intensive professional program in Product Management focused on data-driven product development and lifecycle management. Key areas of study: • Product strategy and roadmap development • Customer journey mapping and user experience design • Market research and competitive analysis • F

Comprehensive program covering bank operations, credit products, lending principles, credit assessment and risk management.